Cases

Where autonomous decisions meet real consequences.

The same primitives apply across code, security, finance, contracts, healthcare, and enterprise operations: meaning, evidence, authority, coordination, controlled execution, and decision records.

Five starting surfaces for design partners and review engagements.

01 Overview

Case 01 Coding Agents / Software Delivery A devtool startup has an AI coding agent that can read repositories, edit files, open pull requests, request review, and eventually merge approved changes. Risk Enterprise customers want a concrete answer to what the agent is allowed to change before production-impacting actions execute. Case 02 Security Operations / Agentic SOC A security platform is adding agents that triage alerts, investigate incidents, enrich signals, disable users, block IPs, isolate endpoints, and escalate threats. Risk The promise is faster response. The risk is uncontrolled remediation across users, infrastructure, and privileged systems. Case 03 Finance / Accounting Operations A finance automation company has agents that reconcile transactions, classify expenses, prepare reports, draft journal entries, route approvals, and update finance systems. Risk The team wants more automation, but every posting, approval, adjustment, and report change must survive audit. Case 04 Legal / Contract Operations A legal AI product helps in-house teams draft contracts, redline clauses, compare terms, route exceptions, and prepare approval packets. Risk Drafting can be flexible. Approval, clause substitution, external communication, and exception routing need explicit gates. Case 05 Healthcare Admin / Prior Auth / Claims A healthcare operations company has agents that gather clinical evidence, check payer rules, draft prior authorization packets, submit requests, monitor status, and prepare appeals. Risk The work is structured, expensive, and evidence-heavy. The agent must not submit the wrong request with incomplete support.

Next step

Pick the workflow where the agent is useful, risky, and not yet easy to explain.

Semantiv can review one narrow slice and leave behind an operational meaning model, evidence requirements, control architecture, and decision record.

Request an Agent Behavior & Control Review See the method